Paper Info
Title
Exploring consistent functional brain networks during free viewing of videos via sparse representation
Abstract
Functional brain mapping under naturalistic stimuli such as video watching has been receiving greater interest in recent years. We presented a sparse representation based data-driven strategy to explore consistent functional brain networks during free viewing of continuous video streams. Compared with the traditional independent component analysis (ICA) based method, the novelty of our method is taking the intrinsic sparsity of whole-brain fMRI data into consideration and identify those highly descriptive dictionary atoms for sparse representation of fMRI signals. Our experimental results demonstrate that meaningful consistent functional brain networks can be mapped during free viewing of video stream by our method. We also compared the proposed method with ICA-based method.
Year
DOI
Venue
2014
10.1109/ISBI.2014.6867880
ISBI
Keywords
DocType
ISSN
consistent functional brain networks,image representation,whole-brain fMRI,Functional brain networks,naturalistic stimuli,data-driven strategy,free video viewing,independent component analysis,functional magnetic resonance imaging,biomedical MRI,continuous video streams,brain,functional brain mapping,ICA,medical image processing,sparse representation
Conference
1945-7928
Citations 
PageRank 
References 
1
0.37
6
Authors
7
Name
Order
Citations
PageRank
Cheng Lv110.37
Xintao Hu211813.53
Junwei Han33501194.57
Gong Cheng4102040.17
Xiang Li5283.86
Lei Guo61661142.63
Tianming Liu71033112.95